Closed agitter closed 6 years ago
I presented this at a Greenelab journal club way back actually, we should also note this: http://sagebase.org/in-the-news/digital-mammography-dream-challenge/ going on now will add further notes later today
@brettbj I haven't read this yet. Do you think we should include it in the review?
Nice catch with the DREAM challenge. I hadn't noticed that one.
I think so, need to reread though. If I remember correctly it's much more of an application than unique methods development, but was one of the first. It's also out of a CS focused lab (I believe LSTM's came out of this lab)
http://doi.org/10.1007/978-3-642-40763-5_51
Of the many papers using deep learning for histology applications, this one is fairly well-cited. I don't know this area well, but it could serve as a starting point to find relevant imaging work. They appear to have done well on this 2012 challenge http://doi.org/10.4103/2153-3539.112693